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A decision-making mechanism for assessing risk factor significance in cardiovascular diseases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Development and Validation of Improved Algorithms for the Assessment of Global Cardiovascular Risk in Women
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Encyclopedia of Machine Learning
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The Nature of Statistical Learning Theory
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Low-density lipoprotein apheresis as a treatment option for hyperlipidemia
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Neural networks: A comprehensive foundation
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Improving the ranking quality of medical image retrieval using a genetic feature selection method
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A service oriented architecture to provide data mining services for non-expert data miners
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Mutual information based input feature selection for classification problems
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Assessing the perception of information components in financial decision support systems
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Decision making in healthcare
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Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings
inferredcites →https://doi.org/10.1016/j.dss.2013.05.003openalex-snapshot
A machine learning-based usability evaluation method for eLearning systems
inferredcites →https://doi.org/10.1016/j.dss.2013.10.009openalex-snapshot
Improving business process decision making based on past experience
inferredcites →https://doi.org/10.1016/j.dss.2015.03.007openalex-snapshot
Do decision-making structure and sequence exist in health online social networks?
inferredcites →https://doi.org/10.1016/j.dss.2016.05.008openalex-snapshot
A multi-agent system to support evidence based medicine and clinical decision making via data sharing and data privacy
inferredcites →https://doi.org/10.1016/j.dss.2018.01.005openalex-snapshot
Automatic feature weighting for improving financial Decision Support Systems
inferredcites →https://doi.org/10.1016/j.ejor.2011.10.044openalex-snapshot
A belief rule-based decision support system for clinical risk assessment of cardiac chest pain
inferredcites →https://doi.org/10.1016/j.ejor.2015.08.001openalex-snapshot
FLAS: Fuzzy lung allocation system for US-based transplantations
inferredcites →https://doi.org/10.1016/j.ejor.2016.04.015openalex-snapshot
Modeling synergies in multi-criteria supplier selection and order allocation: An application to commodity trading
inferredcites →https://doi.org/10.1016/j.ejor.2017.02.037openalex-snapshot
Cost-based feature selection for Support Vector Machines: An application in credit scoring
inferredcites →https://doi.org/10.1016/j.ejor.2017.09.034openalex-snapshot
A decision analytic approach to predicting quality of life for lung transplant recipients: A hybrid genetic algorithms-based methodology
inferredcites →https://doi.org/10.1016/s0735-1097(98)00136-3openalex-snapshot
C-Reactive Protein Is a Potent Predictor of Mortality Independently of and in Combination With Troponin T in Acute Coronary Syndromes: A TIMI 11A Substudy
inferredcites →https://doi.org/10.1056/nejm200003233421202openalex-snapshot
C-Reactive Protein and Other Markers of Inflammation in the Prediction of Cardiovascular Disease in Women
inferredcites →https://doi.org/10.1056/nejmoa021993openalex-snapshot
Comparison of C-Reactive Protein and Low-Density Lipoprotein Cholesterol Levels in the Prediction of First Cardiovascular Events
inferredcites →https://doi.org/10.1080/08874417.2014.11645723openalex-snapshot
A Business-Analytic Approach to Identify Critical Factors in Quantitative Disciplines
inferredcites →https://doi.org/10.1093/clinchem/18.6.499openalex-snapshot
Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge
inferredcites →https://doi.org/10.1093/clinchem/47.3.444openalex-snapshot
Variability and Classification Accuracy of Serial High-Sensitivity C-Reactive Protein Measurements in Healthy Adults
inferredcites →https://doi.org/10.1109/72.298224openalex-snapshot
Using mutual information for selecting features in supervised neural net learning
inferredcites →https://doi.org/10.1109/72.977291openalex-snapshot
Input feature selection for classification problems
inferredcites →https://doi.org/10.1109/isda.2011.6121724openalex-snapshot
Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries
inferredcites →https://doi.org/10.1109/jproc.2003.817864openalex-snapshot
Medical image registration using mutual information
inferredcites →https://doi.org/10.1109/tim.2012.2187240openalex-snapshot
Health Monitoring of Cooling Fans Based on Mahalanobis Distance With mRMR Feature Selection
inferredcites →https://doi.org/10.1109/tnn.2004.841414openalex-snapshot
Estimating Optimal Feature Subsets Using Efficient Estimation of High-Dimensional Mutual Information
inferredcites →https://doi.org/10.1109/tnn.2008.2005601openalex-snapshot
Normalized Mutual Information Feature Selection
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tsmcb.2003.817106openalex-snapshot
Relevant, Irredundant Feature Selection and Noisy Example Elimination
inferredcites →https://doi.org/10.1109/tsmcb.2006.883267openalex-snapshot
Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
inferredcites →https://doi.org/10.1142/9789811205675_0004openalex-snapshot
Particle Swarm Optimization
inferredcites →https://doi.org/10.1161/01.cir.0000052939.59093.45openalex-snapshot
Markers of Inflammation and Cardiovascular Disease
inferredcites →https://doi.org/10.1161/01.cir.0000053730.47739.3copenalex-snapshot
Clinical Application of C-Reactive Protein for Cardiovascular Disease Detection and Prevention
inferredcites →https://doi.org/10.1161/01.cir.0000055014.62083.05openalex-snapshot
C-Reactive Protein, the Metabolic Syndrome, and Risk of Incident Cardiovascular Events
inferredcites →https://doi.org/10.1162/089976601750265027openalex-snapshot
A Comparative Study of Feature-Salience Ranking Techniques
inferredcites →https://doi.org/10.1186/1687-6180-2012-213openalex-snapshot
3D facial expression recognition using maximum relevance minimum redundancy geometrical features
inferredcites →https://doi.org/10.1371/journal.pmed.1000196openalex-snapshot
Measuring hsCRP—An Important Part of a Comprehensive Risk Profile or a Clinically Redundant Practice?
inferredcites →https://doi.org/10.23937/2378-2951/1410018openalex-snapshot
Cardiovascular Risk Factors, Diet and Lifestyle among a Group of Italian Young Adults Students
inferredcites →https://doi.org/10.7326/0003-4819-130-11-199906010-00018openalex-snapshot
Evaluating Novel Cardiovascular Risk Factors: Can We Better Predict Heart Attacks?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multilayer‐neighbor local binary pattern for facial expression recognition
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Exploring the Synergy of Machine Learning Algorithms in Wireless Sensor Networks: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1007/s11063-024-11542-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40747-022-00791-wopenalex-snapshot
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Does the medical insurance system play a real role in reducing catastrophic economic burden in elderly patients with cardiovascular disease in China? Implication for accurately targeting vulnerable characteristics
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Cervical Cancer Prediction using NGBFA Feature Selection Algorithm and Hybrid Ensemble Classifier
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Assessment of important cardiovascular risk factors using ML methods: a randomized controlled trial
inferred← citeshttps://doi.org/10.29252/sjimu.28.2.59openalex-snapshot
Analysis of Hepatitis Patient Data using Binary Artificial Algae Algorithm based on K-Nearest Neighbor
inferred← citeshttps://doi.org/10.3390/diagnostics11122288openalex-snapshot
An Adaptive Deep Ensemble Learning Method for Dynamic Evolving Diagnostic Task Scenarios
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An Artificial Neural Network Approach and a Data Augmentation Algorithm to Systematize the Diagnosis of Deep-Vein Thrombosis by Using Wells’ Criteria
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